Practical Machine Learning - Class 1

Machine Learning (ML) is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. In this course, we learn the introduction to Machine Learning (ML) and provides an overview of the important concepts, applications, and future of AI. We will cover how you can apply ML to your existing or future career in industry.

The topics included in this course included:

• Learning Machine Learning fundamentals
• Learn neural network architecture for classification and regression using TensorFlow
• Explore the Keras API, the official high-level API for TensorFlow
• Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection

California Science and Technology University (CSTU) is accredited by the Accrediting Commission of Career Schools and Colleges (ACCSC). ACCSC is a recognized accrediting agency by the U.S. Department of Education. CSTU is a job-oriented university with a curriculum focusing on cutting-edge technologies. Artificial Intelligence (AI) and Data Science are the core of our training.

Students can attend the eight-month training program, or two-year degree programs (MSCSE in AI, or MBA in data science). If you are unemployed, the government training fund can cover the training program tuition; if you are employed, the employer may reimburse the training tuition. CSTU also provides various scholarships to outstanding students. Please contact us for more details.

www.cstu.edu

Addr: 1601 McCarthy Boulevard, Milpitas, CA 95035

Tel: (408) 400 - 3948

E-mail: admission@cstu.edu